Buch, Englisch, 422 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Advances in Computer Science Applications and Research
Second International Conference, AMRIT 2024, Agartala, India, November 8-9, 2024, Proceedings, Part I
Buch, Englisch, 422 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Advances in Computer Science Applications and Research
ISBN: 978-3-032-31780-3
Verlag: Springer Nature Switzerland AG
The two volume set ACSAR 7-8 constitutes selected papers presented during the Second International Conference on Advanced Computing, Machine Learning, Robotics and Internet Technologies, AMRIT 2024, held in Agartala, India, in November 2024.
The 47 full papers and 14 short papers presented were thoroughly reviewed and selected from 274 submissions. This book contains systematic material for understanding the latest trends in Computer Science research and various challenging issues of Computer science research and their solutions.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
.- Comparative study on Different Cache Replacement Algorithms LRU, SRRIP, DRRIP and SHiP.
.- A Study on English-Assamese Machine Translation Systems.
.- Comparative study on various deep learning approaches for early-stage glaucoma identification.
.- A Novel GRU Deep Learning Approach for Recognizing Human Activity using Sensor Data.
.- Data Collection and Pre-processing for Disease Prediction in Healthcare through Machine Learning.
.- Advancing in Semiparametric Temporal Pattern Detection in Large Datasets through Variational Inference.
.- A Hybrid Deep Learning Approach For Semantic Segmentation of DR Lesions Through Fundus Image Analysis.
.- Rainfall Prediction using Genetic Algorithm based Artificial Neural Network.
.- Comparison of Supervised Learning Models for Classification Banana (Genus: Musa) Varieties Based on Morphological Traits.
.- Emerging ICT and Computing Adaptations in Small and Medium Enterprises: the ways in New Age Academic Programs in Digital Education Arena-The Indian Context.
.- Education 4.0 & Emerging Technologies towards skill based, sustainable and Industry Ready Workforce: An Indian Context.
.- A Strategic Framework for Placing EV Charging Stations to Improve Network Performance in Radial Distribution Network.
.- The Evolution of Electric Vehicle Technologies and Their Integration with Microgrids: A Comprehensive Survey with a Real-Time Case Study.
.- Optimization of a High-Gain Microstrip Patch Antenna with Single Stage Voltage Doubling Circuit for RF-Energy harvesting Applications.
.- Optimized PI-Based Model Predictive Control for Reducing Torque Ripple in BLDC Motors using Particle Swarm Optimization.
.- A Spatio-Temporal Analysis Of Flood Vulnerability In The Upper Brahmaputra River Valley Of Assam Using Multi-Criteria Decision Making Approach.
.- ASER of DF Relay Aided Dual-Hop Communication Systems Applying Coherent Modulation and MRC at Terminus Through a-F Fading Channels..
.- Impact of Mobile Distributed Generation on Distribution System Reliability.
.- Analysis of Double Cage Induction Motor based Electric Vehicle with Study of Renewable Energy Integration.
.- Flavour Compounds produced by Lactic Acid Bacteria (LAB) isolated from Chuwan.
.- Analysis of the Impact of EVCS on Harmonics of Power Distribution Network along with Mitigation Technique.
.- Deep Learning-Based Detection of Dubas Bug Infestation in Palm Trees Using Inception Networks.
.- Enhanced Sentiment Analysis using BERT and LSTM for E-commerce data.
.- A Novel Adam Archery Algorithm with Deep Learning for Online Fake Review Detection.
.- A Data Driven Study of Depression Detection in Twitter Through Web Scraping and Sentiment Analysis in Real Time.
.- Wavelet based features of invariant surfaces and its application in classification problems.
.- Enhanced Deepfake Detection through CNN and Xception.
.- A lightweight intrusion detection system for IoT.
.- Dynamic Final Price Prediction Using LSTM Neural Networks on Custom Retail Data.
.- A Novel Approach to Software Defect Prediction.
.- Multimodal Cyberbullying Detection Using Deep Learning Techniques.
.- DeepFruit: A Unified Deep Learning Framework for Fruit Classification and Quality Evaluation.
